Correction to: Comparison of multiple transcriptomes exposes unified and divergent features of quiescent and activated skeletal muscle stem cells

Correction to: Comparison of multiple transcriptomes exposes unified and divergent features of... Pietrosemoli et al. Skeletal Muscle (2018) 8:19 https://doi.org/10.1186/s13395-018-0165-y CORRECTION Open Access Correction to: Comparison of multiple transcriptomes exposes unified and divergent features of quiescent and activated skeletal muscle stem cells 1† 2,3† 2,3,6† 2,3† 2,3† Natalia Pietrosemoli , Sébastien Mella , Siham Yennek , Meryem B. Baghdadi , Hiroshi Sakai , 4† 2,3 2,5 2,3* Ramkumar Sambasivan , Francesca Pala , Daniela Di Girolamo and Shahragim Tajbakhsh Author details Correction Bioinformatics and Biostatistics Hub, C3BI, USR 3756 IP CNRS, Institut After publication of this article [1], the authors noted that 2 Pasteur, 75015 Paris, France. Stem Cells and Development, Department of the legends for Additional file 3: Figure S3 and Additional Developmental and Stem Cell Biology, Institut Pasteur, 75015 Paris, France. 3 4 CNRS UMR 3738, Institut Pasteur, 75015 Paris, France. Institute for Stem Cell file 4: Figure S4 were truncated in the production process, Biology and Regenerative Medicine, GKVK PO, Bellary Road, Bengaluru therefore lacking some information concerning these 5 560065, India. Dipartimento di Medicina Clinica e Chirurgia, Università degli Figures. The complete legends are included in this Correc- Studi di Napoli Federico II, Via S. Pansini 5, 80131 Naples, Italy. Novo Nordisk Foundation Center for Stem Cell Biology, DanStem, University of tion. The authors apologize for any inconvenience that Copenhagen, 3B Blegdamsvej, DK-2200 Copenhagen N, Denmark. this might have caused. Additional files Reference 1. Pietrosemoli N, Mella S, Yennek S, et al. Comparison of multiple Additional file 3: Figure S3. Effect of adding NICD[E17.5/E14.5] dataset transcriptomes exposes unified and divergent features of quiescent and on the best combinations of datasets. Best combination of datasets was activated skeletal muscle stem cells. Skelet Muscle. 2017;7:28. determined by the bigger overlap between n (= degree) datasets. n varies from 1 (the dataset containing the most DEGs) to 10 (all the datasets except NICD[E17.5/E14.5]). Blue bars/numbers indicate the number of best overlap between the n datasets, orange bars/numbers indicate, the extent of overlap when NICD[E17.5/E14.5] was added to this best combination. (PDF 395 kb) Additional file 4: Figure S4. Effect of PFA treatment at different time points in the experimental procedure. Top: Schematic showing the simplified experimental procedure of cell fixation before or after muscle dissociation/cell sorting. “0h” refers to cells fixed prior to muscle dissociation and cell sorting, while “5h” refers to cells that undergo muscle dissociation and cell sorting prior any treatment (+/− PFA). Bottom: Barplots showing the effect of PFA treatment after muscle dissociation/cell sorting. Bars represent the fold change (in Log10) of expression between freshly isolated QSCs (0 h + PFA) and QSCs after muscle dissociation/ cell sorting with or without PFA treatment, 5 h + PFA and 5 h –PFA, respectively. (PDF 445 kb) * Correspondence: shahragim.tajbakhsh@pasteur.fr Natalia Pietrosemoli, Sébastien Mella, Siham Yennek, Meryem B. Baghdadi, Hiroshi Sakai and Ramkumar Sambasivan contributed equally to this work. Stem Cells and Development, Department of Developmental and Stem Cell Biology, Institut Pasteur, 75015 Paris, France CNRS UMR 3738, Institut Pasteur, 75015 Paris, France Full list of author information is available at the end of the article © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Skeletal Muscle Springer Journals

Correction to: Comparison of multiple transcriptomes exposes unified and divergent features of quiescent and activated skeletal muscle stem cells

Free
1 page
Loading next page...
1 Page
 
/lp/springer_journal/correction-to-comparison-of-multiple-transcriptomes-exposes-unified-7tYncfcusW
Publisher
BioMed Central
Copyright
Copyright © 2018 by The Author(s).
Subject
Life Sciences; Cell Biology; Developmental Biology; Biochemistry, general; Systems Biology; Biotechnology
eISSN
2044-5040
D.O.I.
10.1186/s13395-018-0165-y
Publisher site
See Article on Publisher Site

Abstract

Pietrosemoli et al. Skeletal Muscle (2018) 8:19 https://doi.org/10.1186/s13395-018-0165-y CORRECTION Open Access Correction to: Comparison of multiple transcriptomes exposes unified and divergent features of quiescent and activated skeletal muscle stem cells 1† 2,3† 2,3,6† 2,3† 2,3† Natalia Pietrosemoli , Sébastien Mella , Siham Yennek , Meryem B. Baghdadi , Hiroshi Sakai , 4† 2,3 2,5 2,3* Ramkumar Sambasivan , Francesca Pala , Daniela Di Girolamo and Shahragim Tajbakhsh Author details Correction Bioinformatics and Biostatistics Hub, C3BI, USR 3756 IP CNRS, Institut After publication of this article [1], the authors noted that 2 Pasteur, 75015 Paris, France. Stem Cells and Development, Department of the legends for Additional file 3: Figure S3 and Additional Developmental and Stem Cell Biology, Institut Pasteur, 75015 Paris, France. 3 4 CNRS UMR 3738, Institut Pasteur, 75015 Paris, France. Institute for Stem Cell file 4: Figure S4 were truncated in the production process, Biology and Regenerative Medicine, GKVK PO, Bellary Road, Bengaluru therefore lacking some information concerning these 5 560065, India. Dipartimento di Medicina Clinica e Chirurgia, Università degli Figures. The complete legends are included in this Correc- Studi di Napoli Federico II, Via S. Pansini 5, 80131 Naples, Italy. Novo Nordisk Foundation Center for Stem Cell Biology, DanStem, University of tion. The authors apologize for any inconvenience that Copenhagen, 3B Blegdamsvej, DK-2200 Copenhagen N, Denmark. this might have caused. Additional files Reference 1. Pietrosemoli N, Mella S, Yennek S, et al. Comparison of multiple Additional file 3: Figure S3. Effect of adding NICD[E17.5/E14.5] dataset transcriptomes exposes unified and divergent features of quiescent and on the best combinations of datasets. Best combination of datasets was activated skeletal muscle stem cells. Skelet Muscle. 2017;7:28. determined by the bigger overlap between n (= degree) datasets. n varies from 1 (the dataset containing the most DEGs) to 10 (all the datasets except NICD[E17.5/E14.5]). Blue bars/numbers indicate the number of best overlap between the n datasets, orange bars/numbers indicate, the extent of overlap when NICD[E17.5/E14.5] was added to this best combination. (PDF 395 kb) Additional file 4: Figure S4. Effect of PFA treatment at different time points in the experimental procedure. Top: Schematic showing the simplified experimental procedure of cell fixation before or after muscle dissociation/cell sorting. “0h” refers to cells fixed prior to muscle dissociation and cell sorting, while “5h” refers to cells that undergo muscle dissociation and cell sorting prior any treatment (+/− PFA). Bottom: Barplots showing the effect of PFA treatment after muscle dissociation/cell sorting. Bars represent the fold change (in Log10) of expression between freshly isolated QSCs (0 h + PFA) and QSCs after muscle dissociation/ cell sorting with or without PFA treatment, 5 h + PFA and 5 h –PFA, respectively. (PDF 445 kb) * Correspondence: shahragim.tajbakhsh@pasteur.fr Natalia Pietrosemoli, Sébastien Mella, Siham Yennek, Meryem B. Baghdadi, Hiroshi Sakai and Ramkumar Sambasivan contributed equally to this work. Stem Cells and Development, Department of Developmental and Stem Cell Biology, Institut Pasteur, 75015 Paris, France CNRS UMR 3738, Institut Pasteur, 75015 Paris, France Full list of author information is available at the end of the article © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Journal

Skeletal MuscleSpringer Journals

Published: Jun 6, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off